Quantum mechanics

Control (management)

Voltage

Engineering

Aerospace engineering

Hybrid power

Power (physics)

Computer science

Diesel fuel

Maximum power point tracking

Mechanical engineering

Physics

AC power

Renewable energy

Inverter

Automotive engineering

Artificial intelligence

Turbine

Wind power

Diesel generator

Control theory (sociology)

Photovoltaic system

Electrical engineering

Renewable energy focus

This manuscript proposes an efficient hybrid method for power flow management (PFM) in smart grid (SG) system with hybrid renewable energy sources (HRES), such as photovoltaic (PV), wind turbine (WT), micro turbine (MT), fuel cell (FC), diesel generator (DG), battery energy storage (BES). The proposed hybrid method is the consolidation of turbulent flow of water-based optimization (TFWO) and battle royale optimization (BRO), hence it is called TFW-BRO. The major objective of the proposed approach is “to cost reduction and control the power flow (PF) of the system. The control signal of the voltage source inverter is generated by TFWO depending on the variation of power transmission between the source and load side. The control signal is assured using BRO via the parallel implementation against active with reactive power type. The power balance constraints, capacity constraints are used for define the objective function. Depending on the variation of PF, the TFW-BRO method optimizes the control parameter of the controller. Finally, the proposed method is activated in Matrix Laboratory (MATLAB)/Simulink site, and then the performance is likened with other existing methods. The statistical analysis such as mean, median, standard deviation for the proposed technique is 0.9681, 0.9062 and 0.1099 respectively.

An efficient approach based power flow management in smart grid system with hybrid renewable energy sources